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VIRTUAL EVENT

SNOWFLAKE CONNECT

Turn Trusted Business Context Into Intelligent Action

 

VIRTUAL EVENT | Thursday, October 15 at 10:00am PT

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AI needs more than data—it needs business context.

Join the October Snowflake Connect to learn how leading organizations are bringing governed data, shared definitions, and enterprise knowledge together to power trusted AI. Hear customer stories and practical approaches for modernizing your foundation, preparing data for AI, building intelligent experiences, and turning business context into action.

AGENDA

TIME SESSION DETAILS
10 min
Turn Trusted Business Knowledge Into Intelligent Action

We will take you through the complete lifecycle of turning data into intelligent action: moving from Smart Spend to a Solid Foundation, into Trusted Analytics, and finally shipping production apps. We’ll start with how embedded AI can simplify cost intelligence and set guardrails around LLM consumption. From there, we’ll show you how to engineer declarative pipelines, unify operational and analytical workloads under a single governed semantic layer, and power full-stack applications all without moving your data. 

Leading companies are racing to become agentic enterprises where AI agents operate continuously across the business, turning data into decisions and decisions into action, at a speed and scale no human team can match alone.

To support this transformation, this month we will cover how Snowflake’s unified platform eliminates silos through open interoperability, seamlessly powering high-concurrency apps, flexible lakehouses, and real-time AI agents.

20 min
Smart Cost Management for the AI Era

AI workloads bring dynamic spend that traditional FinOps tools can’t easily track. Join us to learn how Snowflake is solving both sides of the equation — using AI to simplify cost intelligence while embedding guardrails to govern your AI investments.

What You’ll Learn:

  • Natural Language Cost Insights: Explore how embedded AI tools like Snowflake CoCo analyze query spend and explain cost anomalies near-instantly
  • Granular Visibility: Track LLM, agent and GPU consumption down to specific accounts and capabilities
  • Smart Guardrails: Implement tag-based budgets and per-user quotas to prevent runaway spend without throttling innovation
20 min
Engineering the Foundation for Trusted AI

In this session, we’ll walk through a practical approach for modernizing how you build and share data products. We’ll show you how to use Snowflake to:

  • Accelerate declarative, pipeline-driven delivery
  • Establish governed, consistent definitions across every analytics and AI surface
  • Give your teams a governed AI coding agent that encodes expertise into reproducible workflows

You’ll leave with concrete approaches for modernizing your foundation, preparing data and business context for AI and turning that context into intelligent action without sacrificing governance or control.

20 min
Trusted Analytics: Turning Workloads into Insights

Turning data into trusted, governed analytics is what unlocks the next layer of value from your data. In this session, we’ll show you how to use Snowflake to:

  • Unify operational and analytical workloads on a single platform without traditional pipelines
  • Encode business metrics once with a governed semantic layer so every consumer works from the same trusted definitions
  • Deliver analytics at the speed and concurrency your business users expect

Whether you’re bringing existing workloads to Snowflake or building new ones, you’ll leave with concrete approaches for turning the data that runs your business into the analytics that grow it.

20 min
From Foundation to Application: The Full Stack on Snowflake

What does it actually take to build a production application on Snowflake from the ground up? In this session, we’ll show you how to use Snowflake to:

  • Replace disconnected tools and manual workflows with Streamlit apps that read and write directly to Snowflake
  • Unify your warehouse and governed semantic layer so every app works from the same trusted, live data
  • Add an AI agent layer that delivers insights 
  • Ship and iterate production-grade apps on the full stack, from data foundation to application

Hear how organizations are rebuilding their process on Snowflake, and leave with concrete approaches for turning the data that runs your business into production-grade applications that move it forward.

Speakers

Zaki Bajwa

Sr. Regional Vice President, Solution Engineering, Snowflake

Jeremiah Hansen

Principal Data Platform Architect II, Applied Field Engineering, Snowflake